Multi-objective optimization of a hybrid biomass-based SOFC/GT/double effect absorption chiller/RO desalination system with CO2 recycle

A. Behzadi*, A. Habibollahzade, V. Zare, M. Ashjaee

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

136 Citations (Scopus)

Abstract

In this study, a biomass-based solid oxide fuel cell integrated with a gas turbine, a reverse osmosis desalination unit, and double-effect absorption chiller is proposed for power generation, cooling and fresh water production. Accordingly, environmental contamination of the proposed system is mitigated by capturing and recycling emitted CO2 into the gasifier. Subsequently, a parametric study is performed to analyze the proposed multi-generation system from energy, exergy, exergoeconomic, and environmental impact viewpoints. In addition, considering the exergy efficiency as a performance indicant (to be maximized) and total product cost as an economic indicator (to be minimized) multi-objective optimization is implemented to ascertain the best operating conditions. The results of exergy and exergoeconomic analysis reveal that gasifier is the primary source of irreversibility with exergy destruction rate of 179.8 kW and the exergoeconomic factor of the cooling system components is lower than 20%. Multi-objective optimization results show that exergy efficiency and total product unit cost of the proposed system is 38.16% and 69.47 $/GJ, respectively at the optimum operating condition. Furthermore, scatter distribution of the effective parameters demonstrates that, the stack temperature difference, gas turbine pressure ratio and CO2 recycling ratio are the most sensitive parameters, which should be kept at their lowest value.

Original languageEnglish
JournalEnergy Conversion and Management
Volume181
Pages (from-to)302-318
Number of pages17
ISSN0196-8904
DOIs
Publication statusPublished - 1 Feb 2019
Externally publishedYes

Keywords

  • Absorption chiller
  • CO recycling
  • Desalination
  • Multi-objective optimization
  • RO
  • SOFC/GT

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